于田绿洲土壤盐渍化遥感监测研究

首先对含有7个多光谱波段的TM图像分别做了主成分、缨帽变换.然后在对遥感数据及其派生数据分析的基础上,得出可见光、近红外波段之一和第三主成分及绿度特征.做RGB彩色合成能够较好地揭示干旱区盐渍化土壤信息,此方法处理的效果受表层土壤含水量的影响.最后对合成图像分类,得出研究区盐渍地的数量和空间分布状况.

Study on Remote Sensing Monitoring of Soil Salinization in Arid Areas

Ecological environment in arid areas of west China is vulnerable, and soil salinization damages the ecosystems seriously. It is necessary and important to study soil salinization in arid areas for resolving this problem. It is the base of the study to accurately derive the information of soil salinization. In this paper, a case study on remote sensing monitoring of soil salinization in Yutian County in the south of the Tarim River Basin, Xinjiang, is carried out. Firstly, the K-T and the principal component transformation are separately made using TM multi-speetrum images. Secondly, the TM1 of TM images, third principal component and greenness are selected as the characteristic variables based on the analysis of these data, then the multicolor composition is carried out using the there selected components, otherwise the multicolor composition is made using any there components of K-T transformation or any three principal components of principal component transformation. Finally, one band of TM image is used to find the third principal component and greenness to make color composition, which is an ideal way to accurately derive the information of soil salinization. The third principal component refleets the topsoil moisture content, but most of the information of soil salinization can be derived. Topsoil moisture content is the main factor affecting the method. Thus, the data of area and distribution of the soil saliniza- tion in the study area are derived.